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Microsoft Clarity MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 13 tools to Check Clarity Status, Get Dashboard, Get Heatmap, and more

Built by Vinkius GDPR 13 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Microsoft Clarity through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this App Connector for Vercel AI SDK

The Microsoft Clarity app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 13 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Microsoft Clarity, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Microsoft Clarity
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60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Microsoft Clarity MCP Server

Connect your Microsoft Clarity account to any AI agent and unlock behavioral analytics insights through natural conversation.

The Vercel AI SDK gives every Microsoft Clarity tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Project Management — List all tracked websites and inspect individual project configurations and data retention settings
  • Live Insights — Retrieve real-time active users, page views, and engagement metrics for any project
  • Dashboard Analytics — Access aggregate metrics including sessions, pages per session, engagement scores, and bounce rates
  • Heatmap Analysis — Browse page heatmaps showing click, scroll, and attention patterns, and inspect detailed interaction data
  • Session Recordings — List session recordings with duration and pages visited, and inspect individual session timelines
  • UX Friction Detection — Identify dead clicks (elements that don't respond) and rage clicks (repeated frustrated clicking) to locate broken UI elements
  • Content Visibility — Analyze scroll depth data to understand how far users scroll and where content engagement drops off
  • Page Ranking — View top-performing pages ranked by session count and engagement metrics

The Microsoft Clarity MCP Server exposes 13 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 13 Microsoft Clarity tools available for Vercel AI SDK

When Vercel AI SDK connects to Microsoft Clarity through Vinkius, your AI agent gets direct access to every tool listed below — spanning behavioral-analytics, heatmaps, session-recording, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_clarity_status

Verify connectivity

get_dashboard

Get dashboard metrics

get_heatmap

Get heatmap data

get_live_insights

Get live insights

get_project

Get project details

get_recording

Get recording details

get_scroll_depth

Get scroll depth

list_dead_clicks

List dead clicks

list_heatmaps

List heatmaps

list_projects

List projects

list_rage_clicks

List rage clicks

list_recordings

List recordings

list_top_pages

List top pages

Connect Microsoft Clarity to Vercel AI SDK via MCP

Follow these steps to wire Microsoft Clarity into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 13 tools from Microsoft Clarity and passes them to the LLM

Why Use Vercel AI SDK with the Microsoft Clarity MCP Server

Vercel AI SDK provides unique advantages when paired with Microsoft Clarity through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Microsoft Clarity integration everywhere

03

Built-in streaming UI primitives let you display Microsoft Clarity tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Microsoft Clarity + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Microsoft Clarity MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Microsoft Clarity in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Microsoft Clarity tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Microsoft Clarity capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Microsoft Clarity through natural language queries

Example Prompts for Microsoft Clarity in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Microsoft Clarity immediately.

01

"Show me all rage clicks and dead clicks on our checkout page this week."

02

"What are the top 5 most visited pages and how far do users scroll on the homepage?"

03

"How many active users are on the site right now and what pages are they viewing?"

Troubleshooting Microsoft Clarity MCP Server with Vercel AI SDK

Common issues when connecting Microsoft Clarity to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Microsoft Clarity + Vercel AI SDK FAQ

Common questions about integrating Microsoft Clarity MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.